16,158 Data Scientists jobs in India

Description

Key Responsibilities

AI/ML Development & Research

• Design, develop, and deploy advanced machine learning and deep learning models for complex business problems

• Implement and optimize Large Language Models (LLMs) and Generative AI solutions

• Build agentic AI systems with autonomous decision-making capabilities

• Conduct research on emerging AI technologies and their practical applications

• Perform model evaluation, validation, and continuous improvement

Cloud Infrastructure & Full-Stack Development

• Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP

• Develop full-stack applications integrating AI models with modern web technologies

• Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)

• Implement CI/CD pipelines for ML model deployment and monitoring

• Design and optimize cloud infrastructure for high-performance computing workloads

Data Engineering & Database Management

• Design and implement data pipelines for large-scale data processing

• Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)

• Optimize database performance for ML workloads and real-time applications

• Implement data governance and quality assurance frameworks

• Handle streaming data processing and real-time analytics

Leadership & Collaboration

• Mentor junior data scientists and guide technical decision-making

• Collaborate with cross-functional teams including product, engineering, and business stakeholders

• Present findings and recommendations to technical and non-technical audiences

• Lead proof-of-concept projects and innovation initiatives

Required Qualifications

Education & Experience

• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field

• 5+ years of hands-on experience in data science and machine learning

• 3+ years of experience with deep learning frameworks and neural networks

• 2+ years of experience with cloud platforms and full-stack development

Technical Skills - Core AI/ML

• Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms

• Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers

• Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering

• Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation

• Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents

Technical Skills - Development & Infrastructure

• Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript

• Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI

• Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)

• Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes

• MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks

• Big Data: Spark, Hadoop, Kafka, streaming data processing

Preferred Qualifications

• Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma)

• Knowledge of LangChain, LlamaIndex, or similar LLM frameworks

• Experience with model compression and edge deployment

• Familiarity with distributed computing and parallel processing

• Experience with computer vision and NLP applications

• Knowledge of federated learning and privacy-preserving ML

• Experience with quantum machine learning

• Expertise in MLOps and production ML system design

Key Competencies

Technical Excellence

• Strong mathematical foundation in statistics, linear algebra, and optimization

• Ability to implement algorithms from research papers

• Experience with model interpretability and explainable AI

• Knowledge of ethical AI and bias detection/mitigation

Problem-Solving & Innovation

• Strong analytical and critical thinking skills

• Ability to translate business requirements into technical solutions

• Creative approach to solving complex, ambiguous problems

• Experience with rapid prototyping and experimentation

Communication & Leadership

• Excellent written and verbal communication skills

• Ability to explain complex technical concepts to diverse audiences

• Strong project management and organizational skills

• Experience mentoring and leading technical teams

Python, R, SQL,

predictive

modeling

Python, R, SQL,

predictive

modeling

Python, R, SQL,

predictive

modeling

Python, R, SQL,

predictive

modeling

Python, R, SQL,

predictive

modeling

Python, R, SQL,

predictive

modeling

Python, R, SQL,

predictive

modeling

Python, R, SQL,

predictive

modeling

Python, R, SQL,

predictive

modeling

Requirements

• Frontend Framework: Angular

• ervers : Tomcat, Jetty, JBoss, Nginx, Apache HTTP Server

• T ols : Maven, Log4j 2, JUnit 5, Mockito, Postman, Swagger,

JMeter, Logback

• O : Windows, Linux

• V rsion Control : Git, GitHub

• I E : Eclipse, STS, IntelliJ IDEA

• M ssaging Systems : Apache Kafka

• C oud : AWS, Azure

• D vOps Tools : Docker, Kubernetes, GitLab

• F ontend Framework: Angular

• S rvers : Tomcat, Jetty, JBoss, Nginx, Apache HTTP Server

• T ols : Maven, Log4j 2, JUnit 5, Mockito, Postman, Swagger,

JMeter, Logback

• O : Windows, Linux

• V rsion Control : Git, GitHub

• I E : Eclipse, STS, IntelliJ IDEA

• M ssaging Systems : Apache Kafka

• C oud : AWS, Azure

• D vOps Tools : Docker, Kubernetes, GitLab

Description

Key Responsibilities

AI/ML Development & Research

• Design, develop, and deploy advanced machine learning and deep learning models for complex business problems

• Implement and optimize Large Language Models (LLMs) and Generative AI solutions

• Build agentic AI systems with autonomous decision-making capabilities

• Conduct research on emerging AI technologies and their practical applications

• Perform model evaluation, validation, and continuous improvement

Cloud Infrastructure & Full-Stack Development

• Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP

• Develop full-stack applications integrating AI models with modern web technologies

• Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)

• Implement CI/CD pipelines for ML model deployment and monitoring

• Design and optimize cloud infrastructure for high-performance computing workloads

Data Engineering & Database Management

• Design and implement data pipelines for large-scale data processing

• Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)

• Optimize database performance for ML workloads and real-time applications

• Implement data governance and quality assurance frameworks

• Handle streaming data processing and real-time analytics

Leadership & Collaboration

• Mentor junior data scientists and guide technical decision-making

• Collaborate with cross-functional teams including product, engineering, and business stakeholders

• Present findings and recommendations to technical and non-technical audiences

• Lead proof-of-concept projects and innovation initiatives

Required Qualifications

Education & Experience

• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field

• 5+ years of hands-on experience in data science and machine learning

• 3+ years of experience with deep learning frameworks and neural networks

• 2+ years of experience with cloud platforms and full-stack development

Technical Skills - Core AI/ML

• Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms

• Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers

• Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering

• Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation

• Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents

Technical Skills - Development & Infrastructure

• Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript

• Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI

• Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)

• Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes

• MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks

• Big Data: Spark, Hadoop, Kafka, streaming data processing

Preferred Qualifications

• Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma)

• Knowledge of LangChain, LlamaIndex, or similar LLM frameworks

• Experience with model compression and edge deployment

• Familiarity with distributed computing and parallel processing

• Experience with computer vision and NLP applications

• Knowledge of federated learning and privacy-preserving ML

• Experience with quantum machine learning

• Expertise in MLOps and production ML system design

Key Competencies

Technical Excellence

• Strong mathematical foundation in statistics, linear algebra, and optimization

• Ability to implement algorithms from research papers

• Experience with model interpretability and explainable AI

• Knowledge of ethical AI and bias detection/mitigation

Problem-Solving & Innovation

• Strong analytical and critical thinking skills

• Ability to translate business requirements into technical solutions

• Creative approach to solving complex, ambiguous problems

• Experience with rapid prototyping and experimentation

Communication & Leadership

• Excellent written and verbal communication skills

• Ability to explain complex technical concepts to diverse audiences

• Strong project management and organizational skills

• Experience mentoring and leading technical teams

Description

Key Responsibilities

AI/ML Development & Research

• Design, develop, and deploy advanced machine learning and deep learning models for complex business problems

• Implement and optimize Large Language Models (LLMs) and Generative AI solutions

• Build agentic AI systems with autonomous decision-making capabilities

• Conduct research on emerging AI technologies and their practical applications

• Perform model evaluation, validation, and continuous improvement

Cloud Infrastructure & Full-Stack Development

• Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP

• Develop full-stack applications integrating AI models with modern web technologies

• Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)

• Implement CI/CD pipelines for ML model deployment and monitoring

• Design and optimize cloud infrastructure for high-performance computing workloads

Data Engineering & Database Management

• Design and implement data pipelines for large-scale data processing

• Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)

• Optimize database performance for ML workloads and real-time applications

• Implement data governance and quality assurance frameworks

• Handle streaming data processing and real-time analytics

Leadership & Collaboration

• Mentor junior data scientists and guide technical decision-making

• Collaborate with cross-functional teams including product, engineering, and business stakeholders

• Present findings and recommendations to technical and non-technical audiences

• Lead proof-of-concept projects and innovation initiatives

Required Qualifications

Education & Experience

• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field

• 5+ years of hands-on experience in data science and machine learning

• 3+ years of experience with deep learning frameworks and neural networks

• 2+ years of experience with cloud platforms and full-stack development

Technical Skills - Core AI/ML

• Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms

• Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers

• Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering

• Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation

• Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents

Technical Skills - Development & Infrastructure

• Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript

• Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI

• Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB)

• Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes

• MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks

• Big Data: Spark, Hadoop, Kafka, streaming data processing

Preferred Qualifications

• Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma)

• Knowledge of LangChain, LlamaIndex, or similar LLM frameworks

• Experience with model compression and edge deployment

• Familiarity with distributed computing and parallel processing

• Experience with computer vision and NLP applications

• Knowledge of federated learning and privacy-preserving ML

• Experience with quantum machine learning

• Expertise in MLOps and production ML system design

Key Competencies

Technical Excellence

• Strong mathematical foundation in statistics, linear algebra, and optimization

• Ability to implement algorithms from research papers

• Experience with model interpretability and explainable AI

• Knowledge of ethical AI and bias detection/mitigation

Problem-Solving & Innovation

• Strong analytical and critical thinking skills

• Ability to translate business requirements into technical solutions

• Creative approach to solving complex, ambiguous problems

• Experience with rapid prototyping and experimentation

Communication & Leadership

• Excellent written and verbal communication skills

• Ability to explain complex technical concepts to diverse audiences

• Strong project management and organizational skills

• Experience mentoring and leading technical teams

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook.

Inviting applications for the role of Senior Principal Consultant - Data Scientists with Computer vision experience!

We are seeking a tenured and highly skilled Data Scientist with deep expertise in Computer Vision and a strong foundation in AI/ML modeling. The ideal candidate will not only lead the development of intelligent vision systems but will also serve as a technical mentor, providing guidance to junior data scientists on model selection, optimization, and deployment strategies. Experience in domains such as energy, power generation, industrial equipment, or manufacturing will be considered a strong advantage, as the role involves solving real-world visual AI/ML problems in industrial environments.

Key Responsibilities:

Minimum Qualifications

Preferred Qualifications:

Why join Genpact?

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together. 

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook.

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience!We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals.Responsibilities• Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.• Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc.• Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.• Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.• Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.• Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.Qualifications we seek in you:

Minimum Qualifications• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.• experience in data science, machine learning, AI applications, and generative AI modeling.• Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.• Proficient in statistical modeling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.• Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark.• Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations.• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.Preferred Qualifications/ skills• Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.• Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance• Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Why join Genpact?

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together. 

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook. 

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience!

We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals.

Responsibilities • Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.

• Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc.

• Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.

• Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.

• Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.

• Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.

Qualifications we seek in you:

Minimum Qualifications• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

• Experience in data science, machine learning, AI applications, and generative AI modelling.

• Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.

• Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.

• Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark.

• Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations.

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.

Preferred Qualifications/ skills• Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.

• Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance

• Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Why join Genpact?

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together. 

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook. 

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience!

We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals.

Responsibilities • Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.

• Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc.

• Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.

• Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.

• Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.

• Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.

Qualifications we seek in you:

Minimum Qualifications• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

• Experience in data science, machine learning, AI applications, and generative AI modelling.

• Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.

• Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.

• Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark.

• Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations.

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.

Preferred Qualifications/ skills• Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.

• Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance

• Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Why join Genpact?

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together. 

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 

Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead.Powered by curiosity, courage, and innovation,our teamsimplementdata, technology, and AItocreate tomorrow, today.Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook. 

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience!

We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals.

Responsibilities • Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.

• Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc.

• Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations.

• Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.

• Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.

• Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.

Qualifications we seek in you:

Minimum Qualifications• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

• Experience in data science, machine learning, AI applications, and generative AI modelling.

• Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks.

• Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc.

• Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark.

• Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations.

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.

Preferred Qualifications/ skills• Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP.

• Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance

• Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

Why join Genpact?

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together.